Using linear initialisation to improve speed of convergence and fully-trained error in Autoencoders

Marcel Marais, Mate Hartstein, George Cevora

Good weight initialisation is an important step in successful training of Artificial Neural Networks. Over time a number of improvements have been proposed to this process. In this…